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AI Engineer with less than a year in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence undergraduate with a strong foundation in Python, Machine Learning, Deep Learning, and Data Analysis. Passionate about building intelligent solutions, solving real-world problems, and continuously enhancing technical expertise while contributing to innovative projects.
G.H Raisoni College of Engineering
B.Tech
August 1, 2022 – June 30, 2026
MJ Services
AI Intern
December 1, 2025 – June 1, 2026
India
Bid-extractor
January 1, 2026 – June 1, 2026
Built a Streamlit-based Bid Extractor to automatically parse PDFs/images using OCR (Tesseract) and regex, extracting bid details and item tables into structured data also Integrated Zoho CRM API to auto-create bid records.
View ProjectSearch Engine with LangChain
January 1, 2026 – June 1, 2026
Built an AI-powered search engine combining web search, Arxiv summarization, and Wikipedia lookup into a unified intelligent agent pipeline for real-time, explainable results.
View ProjectMulti-Agent AI System
January 1, 2026 – June 1, 2026
Developed a web application using controller agent to route queries to specialized agent for PDF document analysis (RAG), real-time web search and ArXiv paper summarization, delivering integrated, sourced and reasoned response.
View ProjectQ&A Chatbot using Ollama
January 1, 2026 – June 1, 2026
Developed a lightweight conversational AI interface leveraging large language models (LLMs) via LangChain and Ollama for real-time intelligent Q&A interactions.
View ProjectComplete Generative AI Course With Langchain and Huggingface
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio of personal projects demonstrates initiative, a passion for AI, and a drive to apply learned skills to real-world problems. The diversity of projects (multi-agent systems, search engines, chatbots, OCR tools) indicates a broad interest within the AI domain. The internship and coursework align well with an AI Engineer role, suggesting a good cultural fit for a technically driven environment focused on innovation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to integrate various technologies to create functional applications. The internship experience suggests an understanding of automating business processes and improving efficiency. However, without direct assessment, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.